KRASNOYARSK RUSSIA 2527 September 2019 The customer questions autogeneration and their ranking in ecommerce system Conference on Applied Physics Information Technologies and Engineering ID: 804391
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Slide1
INTERNATIONAL CONFERENCE
KRASNOYARSK, RUSSIA
25-27 September 2019
«The customer questions auto-generation and their ranking in e-commerce system»
«Conference on Applied Physics, Information Technologies and Engineering» APITECH-2019
Yu Yu Dyulicheva
Slide2Problem statement
The task of developing intelligent services and intelligent assistants to help make the best product choice for customers need is becoming one of the top priorities in e-commerce systems
how to auto-detect the names of product categories;how to select keywords that describe the products category as the basis for questions auto-generation;how to auto-generate subjective probabilities and how to range question;how to calculate the best category of products based on the 3-5 auto-generating questions.02
Slide3Solution methods
Web-scraping
stagePre-processing stage based on TextRank algorithm and POS-taggingSubjective probabilities estimation stage. The subjective probabilities are estimated with
for positive
products review and with
for negative products reviewsEstimation and ranking of the auto-generated questions stageDetection of the best category stage based on Bayesian rule 03
Slide4Conclusions
Results
, implementation04
approach to customer questions auto-generation;
approach to estimate subjective probabilities based on
TextRank algorithm approach to range auto-generated questions;
Slide5Contacts
Yu
Yu DyulichevaAssistant Professor, Taurida Academy (Academic Unit) of V.I. Vernadsky Crimean Federal University, RussiaE-mail: dyulicheva@gmail.com
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Conference on Applied Physics, Information Technologies and Engineering - APITECH-2019